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97798

GROUND-BASED REMOTE SENSING FOR ESTIMATING THE CUMULATIVE EFFECT OF DIFFERENT IRRIGATION WATER QUALITIES ON THE PRODUCTIVITY AND GROWTH OF POTATO

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Last updated: 04 Jan 2025

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Abstract

The growing competition of water available from Nile fresh water, coupled with laws limiting ground water pumping, has led to utilization of different water qualities in irrigation proposals. In this study, the effect of mixed water on yield, biomass and relative chlorophyll meter was estimated. The performance of ground-based remote sensing of hyperspectral passive reflectance sensor and digital image analysis as precision agriculture tools was tested at tubers bulking growth stage to assess their relationship to detractively measured parameters via simple linear regression and three models based on partial least square regression (PLSR) analysis. The results showed that the newly developed indices (R970 - R730)/(R970 + R730) and (R990 - R730)/(R990 + R730) showed close and highly significant associations with yield, biomass and relative chlorophyll meter, with R2 values reach to 0.87, 0.80, and 0.86, respectively, while the green cover (%) was highly significantly related the same parameters, with R2 values reach to of 0.82, 0.73 and 0.70, respectively. Three models of PLSR based on (i) the spectral reflectance from 302 to 1148 nm, (ii) selected nine spectral indices and (iii) selected eight red–blue–green (RBG) indices of the images analysis for the measured parameters were apparently useful for estimating the yield, aerial biomass and relative chlorophyll meter of potato cultivar under fresh and mixed water treatments. In conclusion, the assessment of measured parameters was improved and more robust when using the multivariate analysis of PLSR models than with previously assayed normalized difference spectral indices and RGB indices from digital image analysis.

DOI

10.21608/mjae.2016.97798

Keywords

sewage water, Remote Sensing, precision agriculture, Spectral indices, RGB indices, potato

Authors

First Name

S.

Last Name

Elsayed

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Affiliation

Assistant Prof. of Agric. Eng. Evaluation of Natural Resources Department, Environmental Studies and Research Institute, Sadat City University, Egypt.

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First Name

M. M.

Last Name

Ibrahim

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Affiliation

Assistant Prof. of Agric. Eng. Dept., Faculty of Agric., Al-Mansoura University, Egypt.

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Volume

33

Article Issue

3

Related Issue

14762

Issue Date

2016-07-01

Receive Date

2020-06-24

Publish Date

2016-07-01

Page Start

1,141

Page End

1,168

Print ISSN

1687-384X

Online ISSN

2636-3062

Article File

MJAE_Volume 33_Issue 3_Pages 1141-1168.pdf

PDF . 1.1MB

Link

https://mjae.journals.ekb.eg/article_97798.html

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https://mjae.journals.ekb.eg/service?article_code=97798

Order

23

Type

Original Article

Type Code

1,326

Publication Type

Journal

Publication Title

Misr Journal of Agricultural Engineering

Publication Link

https://mjae.journals.ekb.eg/

MainTitle

GROUND-BASED REMOTE SENSING FOR ESTIMATING THE CUMULATIVE EFFECT OF DIFFERENT IRRIGATION WATER QUALITIES ON THE PRODUCTIVITY AND GROWTH OF POTATO

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Article

Created At

23 Jan 2023